Bytedance inc. (20240244272). METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING simplified abstract

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METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

Organization Name

bytedance inc.

Inventor(s)

Yue Li of Los Angeles CA (US)

Kai Zhang of Los Angeles CA (US)

Li Zhang of Los Angeles CA (US)

METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240244272 titled 'METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

The abstract of this patent application describes a method for video processing using machine learning models.

  • Simplified Explanation: This patent application proposes a method for video processing using machine learning models trained on other machine learning models.
  • Key Features and Innovation:

- Obtaining a first machine learning model for video processing - Training the first ML model based on one or more second ML models - Performing a conversion between a current video block and a bitstream of the video

  • Potential Applications:

- Video compression - Video streaming optimization - Video editing software enhancement

  • Problems Solved:

- Efficient video processing - Improved video quality - Streamlined video conversion

  • Benefits:

- Faster video processing - Higher quality video output - Enhanced user experience

  • Commercial Applications:

- This technology could be used in video editing software, video streaming platforms, and video compression tools to improve efficiency and quality.

  • Questions about Video Processing:

1. How does this method improve video processing efficiency? - This method improves video processing efficiency by utilizing machine learning models trained on other machine learning models to optimize the conversion process.

2. What are the potential applications of this video processing technology? - The potential applications of this technology include video compression, video streaming optimization, and enhancing video editing software.


Original Abstract Submitted

embodiments of the present disclosure provide a solution for video processing. a method for video processing is proposed. the method comprises: obtaining a first machine learning (ml) model for processing a video, wherein the first ml model is trained based on one or more second ml models; and performing, according to the first ml model, a conversion between a current video block of the video and a bitstream of the video.